Skip to main content
eScholarship
Open Access Publications from the University of California

UC San Diego

UC San Diego Previously Published Works bannerUC San Diego

A scoping review of distributed cognition in acute care clinical decision-making

Abstract

Objectives

In acute care settings, interactions between providers and tools drive clinical decision-making. Most studies of decision-making focus on individual cognition and fail to capture critical collaborations. Distributed Cognition (DCog) theory provides a framework for examining the dispersal of tasks among agents and artifacts, enhancing the investigation of decision-making and error.

Content

This scoping review maps the evidence collected in empiric studies applying DCog to clinical decision-making in acute care settings and identifies gaps in the existing literature.

Summary and outlook

Thirty-seven articles were included. The majority (n=30) used qualitative methods (observations, interviews, artifact analysis) to examine the work of physicians (n=28), nurses (n=27), residents (n=16), and advanced practice providers (n=12) in intensive care units (n=18), operating rooms (n=7), inpatient units (n=7) and emergency departments (n=5). Information flow (n=30) and task coordination (n=30) were the most frequently investigated elements of DCog. Provider-artifact (n=35) and provider-provider (n=30) interactions were most explored. Electronic (n=18) and paper (n=15) medical records were frequently described artifacts. Seven prominent themes were identified. DCog is an underutilized framework for examining how information is obtained, represented, and transmitted through complex clinical systems. DCog offers mechanisms for exploring how technologies, like EMRs, and workspaces can help or hinder clinical decision-making.

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View